2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)最新文献_第6页

Urban Dynamic Traffic Assignment Model Based on Improved Ant Colony Algorithm 基于改进蚁群算法的城市动态交通分配模型

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00084

Yingfeng Sun

{"title":"Urban Dynamic Traffic Assignment Model Based on Improved Ant Colony Algorithm","authors":"Yingfeng Sun","doi":"10.1109/ISAIEE57420.2022.00084","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00084","url":null,"abstract":"The dynamic traffic assignment problem is a problem of finding the time-varying traffic volume on each directional section of the traffic network on the premise of knowing the topological structure of the urban traffic network and the time-varying traffic demand in the network. This problem is not only the premise of urban traffic control and guidance, but also the basis of urban traffic network toll system, and the key to urban traffic system planning and evaluation. This paper presents an improved ACA-based urban dynamic traffic assignment model. The model uses pseudo-random state transition rules and pheromone update rules of routes and road sections to simulate travelers' route selection behavior at road network nodes, and realizes the synthesis of static prior knowledge, dynamic traffic state and randomness of route selection in the process of route selection. The simulation results show that compared with the traditional ACA, the urban dynamic traffic assignment model based on the improved ACA can obtain better road network traffic balance, and it also has certain application value for the route guidance system under time-varying road conditions.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125315805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Hierarchical Information Sharing Platform for Students Based on the Internet of Things and Artificial Intelligence Systems 基于物联网和人工智能系统的分层学生信息共享平台

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00131

Chao Song

引用次数: 0

Research on Intelligent Call Software V1.0 System Based on Computer Artificial AI Technology 基于计算机人工智能技术的智能呼叫软件V1.0系统研究

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00027

Kai Fan, Haiying Huang, Huabing Zhang, Jiahao Liu

引用次数: 0

The Intelligent Prediction Model of College Students' Mental Health Based on Cluster Analysis Algorithm 基于聚类分析算法的大学生心理健康智能预测模型

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00138

Ye Zhang

{"title":"The Intelligent Prediction Model of College Students' Mental Health Based on Cluster Analysis Algorithm","authors":"Ye Zhang","doi":"10.1109/ISAIEE57420.2022.00138","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00138","url":null,"abstract":"College life is a critical period of rapid psychological development and maturity of college students, and a key milestone in shaping students' healthy psychology. Help them form a healthy mind. The purpose of this paper is to study the intelligent model of students' mental health prediction based on cluster analysis algorithm. This paper analyzes the characteristics of students' mental health, analyzes the data sources, mainly discusses the mental health data used in this work, how to obtain the data and some issues that need to be considered when receiving the data. Combined with the actual cluster analysis algorithm research, the main purpose is to apply the cluster analysis algorithm to students' mental health education, analyze the real state of students' psychological problems, and combine the algorithm of this work to group. The correlation between the factors leading to students' psychological problems was analyzed, and some prediction results were obtained for the prediction of students' psychological difficulties. Boys are more decisive than girls in execution, and the t value is 9.55. The specific implementation steps and algorithm flow of the algorithm are given, and the performance of the algorithm is verified through implementation.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126779685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Message from the General Chair 主席致辞

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/WiMob.2008.4

A. Benslimane

引用次数: 0

Joint Chinese entity relationship extraction based on the improved attention mechanism 基于改进关注机制的联合中文实体关系提取

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00060

Hu Dingding

引用次数: 0

English Teaching Method Reform Based on Big Data Analysis Technology 基于大数据分析技术的英语教学方法改革

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00144

Yuezhi Hu

{"title":"English Teaching Method Reform Based on Big Data Analysis Technology","authors":"Yuezhi Hu","doi":"10.1109/ISAIEE57420.2022.00144","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00144","url":null,"abstract":"The “Internet +” era with the rapid development of science and technology has provided us with a space of “openness, sharing, interaction and collaboration”, which has provided us with the opportunity to transform the traditional teacher-centered teaching model into a new student-centered teaching model possible. English teaching (ET) is combined with Internet information technology, and the two are deeply integrated to optimize ET resources, cultivate students' innovative thinking, fully enhance the value of ET, and achieve the purpose of efficient English classrooms. The main purpose of this paper is to conduct research on the reform of ET methods based on BD analysis (BDA) technology. Starting from ET, through the analysis of the development of mobile Internet and the current situation of students' English learning, it is believed that mobile Internet has the advantages of rich teaching resources, diversified intelligent interactive methods, and the ability to undertake classrooms without time and space constraints, which can effectively fill traditional teaching. The disadvantages of the method meet the needs of social development. Based on the whole research, this paper finally affirms the application of mobile Internet in English classroom, and gives some suggestions for the application of mobile Internet technology in the classroom, that is, the application of Internet technology should be cautious, the choice of learning software should be less and more precise, and students' psychology should be paid close attention to. Formulate a reasonable teaching plan, improve the comprehensive evaluation mechanism, and grasp the application scale in combination with the actual situation.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"30 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120859489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Innovation Research of RBF Algorithm on University Information Management in Big Data Era 大数据时代高校信息管理RBF算法创新研究

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00133

Xuetong Lv

{"title":"Innovation Research of RBF Algorithm on University Information Management in Big Data Era","authors":"Xuetong Lv","doi":"10.1109/ISAIEE57420.2022.00133","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00133","url":null,"abstract":"The third industrial revolution has brought us into the “information age”, and the new technology revolution marked by “information” is developing rapidly. During this period, the information management of college has made great contributions to the development of the curriculum, and brought about major changes in teaching methods, teaching methods, curriculum strategies, and curriculum settings. This essay aims to study the innovative research of RBF algorithm on university informatization management in the era of big data. This essay firstly introduces the innovation of college management in the era of big data, mainly explores the development of informatization learning and network teaching. This essay uses the RBF neural network algorithm to build a new university information management system to improve the efficiency and security of university information management. Experiments have proved that the simulation error of the system constructed in this essay is within 5%, which can effectively improve the resource allocation of the system. In the case of multiple people logging in and using in parallel, the response speed of the system is about 0.3s, the response is fast and the relatively stable.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123127639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Adaptive Deep Q-Learning Strategy for Routing Schemes in SDN-Based Data Centre Networks 基于sdn的数据中心网络路由方案的自适应深度q学习策略

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00045

Jian Li, Shuo Wang, Yubo Huang, K. Liao, Feili Bi, Xia Lou

{"title":"An Adaptive Deep Q-Learning Strategy for Routing Schemes in SDN-Based Data Centre Networks","authors":"Jian Li, Shuo Wang, Yubo Huang, K. Liao, Feili Bi, Xia Lou","doi":"10.1109/ISAIEE57420.2022.00045","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00045","url":null,"abstract":"The enhancing size of uses on the cloud has improvised the requirement for dependable and elite execution network engineering in Datacentres. Programming Defined Networking has worked on the adaptability, postponement, and throughput of networks in contrast with static arrangements. To adjust to the quick advancement of distributed computing, enormous information, and different innovations, the mix of server farm rout and SDN is anticipated to type network the executives more advantageous and adaptable. With this benefit, routing methodologies have been widely concentrated by specialists. In any case, the systems in the regulator chiefly depend on manual plan, the ideal arrangements are hard to be acquired in the powerful network climate. A few routing calculations, for example, network geographies with repetitive connections, for example, Fat-tree to give proficient burden adjusting, be that as it may, the failure of these plans to adjust to quickly changing traffic conduct restricts their exhibition. This research suggests DL-based networking plan for SDN. We utilize an adaptive deep Q-network (ADQN) to fabricate the deep reinforcement learning routing plan. We exhibit the adequacy of the proposed framework through broad reproductions. Profiting from nonstop learning with a worldwide view, the proposed framework has lower stream fruition time, throughput and better burden stability as well as better vigor, contrasted with OSPF.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129931859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Moving Object Tracking Method in Dynamic Image Based on Machine Vision 基于机器视觉的动态图像运动目标跟踪方法

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00106

Yiping Chen, Fengshan Yuan

引用次数: 0